Machine learning and deep learning: A review of methods and applications

K Sharifani, M Amini - World Information Technology and …, 2023 - papers.ssrn.com
Abstract Machine learning and deep learning have rapidly emerged as powerful tools in
many fields, including image and speech recognition, natural language processing, and …

Blockchain-based federated learning for securing internet of things: A comprehensive survey

W Issa, N Moustafa, B Turnbull, N Sohrabi… - ACM Computing …, 2023 - dl.acm.org
The Internet of Things (IoT) ecosystem connects physical devices to the internet, offering
significant advantages in agility, responsiveness, and potential environmental benefits. The …

Interpreting black-box models: a review on explainable artificial intelligence

V Hassija, V Chamola, A Mahapatra, A Singal… - Cognitive …, 2024 - Springer
Recent years have seen a tremendous growth in Artificial Intelligence (AI)-based
methodological development in a broad range of domains. In this rapidly evolving field …

Predictive analytics and machine learning for real-time supply chain risk mitigation and agility

A Aljohani - Sustainability, 2023 - mdpi.com
Supply chain agility has become a key success factor for businesses trying to handle
upheavals and uncertainty in today's quickly changing business environment. Proactive risk …

A survey of blockchain and artificial intelligence for 6G wireless communications

Y Zuo, J Guo, N Gao, Y Zhu, S Jin… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The research on the sixth-generation (6G) wireless communications for the development of
future mobile communication networks has been officially launched around the world. 6G …

[PDF][PDF] The significance of machine learning and deep learning techniques in cybersecurity: A comprehensive review

M Mijwil, IE Salem, MM Ismaeel - Iraqi Journal For Computer Science and …, 2023 - iasj.net
People in the modern era spend most of their lives in virtual environments that offer a range
of public and private services and social platforms. Therefore, these environments need to …

5G networks towards smart and sustainable cities: A review of recent developments, applications and future perspectives

MJ Shehab, I Kassem, AA Kutty, M Kucukvar… - IEEE …, 2021 - ieeexplore.ieee.org
5G wireless communication systems provide massive system capacity with high data rates,
very short low-latency, and ultra-high reliability, in addition to high connection density with a …

Optimization of RBF-SVM kernel using grid search algorithm for DDoS attack detection in SDN-based VANET

GO Anyanwu, CI Nwakanma, JM Lee… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
The dynamic nature of the vehicular space exposes it to distributed malicious attacks
irrespective of the integration of enabling technologies. The software-defined network (SDN) …

A GAN-based intrusion detection model for 5G enabled future metaverse

S Ding, L Kou, T Wu - Mobile Networks and Applications, 2022 - Springer
Metaverse is a future virtual reality technology, and Internet of Things (Iot) is one of its
important components. For the metaverse security problem under the future 5G mobile …

UAV-assisted IoT applications, cybersecurity threats, AI-enabled solutions, open challenges with future research directions

M Adil, H Song, S Mastorakis… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Unnamed Ariel Vehicle-assisted-Internet of Things (UAV-assisted IoT) applications have
emerged as a powerful integrated technology, showcasing remarkable results in many …